Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach

DOI10.1080/01621459.2017.1292915zbMath1398.62195OpenAlexW2603410156WikidataQ91472465 ScholiaQ91472465MaRDI QIDQ4962449

Dungang Liu, Heping Zhang

Publication date: 2 November 2018

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6133273

zbMATH Keywords

probit modelmodel diagnosticsgoodness of fitlogistic odds model

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items (8)

Modelling consumer perceptions of service quality for urban public transport systems using statistical models for ordinal data ⋮ Surrogate Residuals for Discrete Choice Models ⋮ Assessment of Regression Models With Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions ⋮ Generalized residuals and outlier detection for ordinal data with challenging data structures ⋮ Uncertainty diagnostics of binomial regression trees for ordered rating data ⋮ A Correlated Network Scale-up Model: Finding the Connection Between Subpopulations ⋮ The class of \textsc{cub} models: statistical foundations, inferential issues and empirical evidence ⋮ Assessing Partial Association Between Ordinal Variables: Quantification, Visualization, and Hypothesis Testing

Cites Work

• Statistical analysis in genetic studies of mental illnesses
• From EM to data augmentation: the emergence of MCMC Bayesian computation in the 1980s
• Parametric links for binary choice models: a Fisherian-Bayesian colloquy
• A new residual for ordinal outcomes
• Bias and efficiency loss due to misclassified responses in binary regression
• Test of Association Between Two Ordinal Variables While Adjusting for Covariates
• Prediction of Functional Status for the Elderly Based on a New Ordinal Regression Model
• Multivariate Meta-Analysis of Heterogeneous Studies Using Only Summary Statistics: Efficiency and Robustness
• Quantiles for Counts
• FIDUCIAL LIMITS OF THE PARAMETER OF A DISCONTINUOUS DISTRIBUTION

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